Towards a more balanced combination of multiple traits when computing functional differences between species
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F21%3A43904208" target="_blank" >RIV/60076658:12310/21:43904208 - isvavai.cz</a>
Alternative codes found
RIV/60077344:_____/21:00536345 RIV/67985939:_____/21:00536345
Result on the web
<a href="https://besjournals.onlinelibrary.wiley.com/doi/10.1111/2041-210X.13537" target="_blank" >https://besjournals.onlinelibrary.wiley.com/doi/10.1111/2041-210X.13537</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1111/2041-210X.13537" target="_blank" >10.1111/2041-210X.13537</a>
Alternative languages
Result language
angličtina
Original language name
Towards a more balanced combination of multiple traits when computing functional differences between species
Original language description
Functional trait differences between species are key drivers of community assembly and ecosystem functioning. Quantifying these differences routinely requires using approaches like the Gower distance to combine various types of traits into a multi-trait dissimilarity. Without special care, the Gower distance can however produce a multi-trait dissimilarity with a disproportional contribution of certain traits, particularly categorical traits and bundle of correlated traits reflecting similar ecological functions. These effects persist even after applying multivariate analyses traditionally used to reduce trait dimensionality. We propose the 'gawdis' R function, and corresponding package, to produce multi-trait dissimilarity with more uniform contributions of different traits, including fuzzy coded ones. The approach is based on minimizing the differences in the correlation between the dissimilarity of each trait, or groups of traits, and the multi-trait dissimilarity. This is done using either an analytical or a numerical solution, both available in the function. Properly taking into account the contribution of multiple traits into multi-trait dissimilarity is key for interpreting the ecological effects of complex species differences. The gawdis r package in CRAN can be further applied to improve equitability in distance-based measures in other field of research, such as social sciences or marketing surveys, which routinely analyse mixed type data.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10618 - Ecology
Result continuities
Project
<a href="/en/project/GA20-17282S" target="_blank" >GA20-17282S: SCALING OF BIOTIC INTERACTIONS IN TEMPERATE AND TROPICAL FOREST</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Methods in Ecology and Evolution
ISSN
2041-210X
e-ISSN
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Volume of the periodical
12
Issue of the periodical within the volume
3
Country of publishing house
US - UNITED STATES
Number of pages
6
Pages from-to
443-448
UT code for WoS article
000598661800001
EID of the result in the Scopus database
2-s2.0-85097564767